medinfoАктуальные проблемы теоретической и клинической медициныActual Problems of Theoretical and Clinical Medicine2790-12892790-1297Казахстанско-Российский медицинский университет10.64854/2790-1289-2025-50-4-04medinfo-854Research ArticleОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯORIGINAL ARTICLESПРОГНОЗИРОВАНИЕ РИСКА ИШЕМИЧЕСКОЙ БОЛЕЗНИ СЕРДЦА НА ОСНОВЕ НЕЛИНЕЙНОГО АНАЛИЗА ВАРИАБЕЛЬНОСТИ СЕРДЕЧНОГО РИТМА ПО ДАННЫМ НОСИМЫХ УСТРОЙСТВPREDICTION OF ISCHEMIC HEART DISEASE RISK BASED ON NONLINEAR ANALYSIS OF HEART RATE VARIABILITY FROM WEARABLE DEVICE DATAhttps://orcid.org/0009-0001-0429-7919КожамбердиеваМ. И.KozhamberdiyevaM. I.kozhamberdiyeva.m@outlook.comhttps://orcid.org/0000-0003-4584-885XРаушановаА. М.RaushanovaA. M.Aizhan.Raushanova@kaznu.kzhttps://orcid.org/0000-0002-6767-1699АбдрахмановаЗ.AbdrakhmanovaZ.Zinat.Abdrakhmanova@kaznu.edu.kzhttps://orcid.org/0000-0002-0365-0979ОракбайЛ.OrakbayL.l.orakbai@medkrmu.kzhttps://orcid.org/0000-0002-5020-7179ТулековЖ. Д.TulekоvZh. D.d.zhangir@bk.ruhttps://orcid.org/0009-0000-5510-3590БайдаулетоваА. И.BaydauletovaA. I.baidaulet123@gmail.comhttps://orcid.org/0000-0002-7043-8206ДуйсеновЕ. Э.DuysenovYe. E.y.y.duisenov@gmail.com«Казахский национальный университет имени Аль-Фараби»КазахстанAl-Farabi Kazakh National UniversityKazakhstanНУО «Казахстанско-Российский медицинский университет»КазахстанKazakhstan-Russian Medical UniversityKazakhstan202530122025045366Copyright © Кожамбердиева М., Раушанова А., Абдрахманова З., Оракбай Л., Тулеков Ж., Байдаулетова А., Дуйсенов Е., 20262026Кожамбердиева М., Раушанова А., Абдрахманова З., Оракбай Л., Тулеков Ж., Байдаулетова А., Дуйсенов Е.Kozhamberdiyeva M., Raushanova A., Abdrakhmanova Z., Orakbay L., Tulekоv Z., Baydauletova A., Duysenov Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://kazrosmedjournal.krmu.edu.kz/jour/article/view/854Ведение

Ведение.Ишемическая болезнь сердца является одной из ведущих причин смертности во всем мире, что подчеркивает актуальность внедрения доступных и неинвазивных методов скрининга среди населения. Исследование было направлено на оценку возможности использования параметров вариабельности сердечного ритма, регистрируемых с помощью носимого фотоплетизмографического устройства, для стратификации риска ишемической болезни сердца.

Материалы и методы

Материалы и методы. В ходе работы было разработано носимое IoT‑устройство «Zhurek», надеваемое на палец и основанное на технологии фотоплетизмографии; устройство в режиме реального времени вычисляет показатели вариабельности сердечного ритма. Показатели «Zhurek» сравнивались с данными трехканального холтеровского мониторирования электрокардиографии, а к данным ангиографически подтвержденных пациентов и здоровых добровольцев были применены алгоритмы машинного обучения.

Результаты

Результаты. Отклонения измерений нового устройства по сравнению с холтеровской электрокардиографией находились в клинически приемлемых пределах; параметры вариабельности сердечного ритма, в особенности мощность в низкочастотном диапазоне и возраст пациента, были идентифицированы как ключевые диагностические признаки для выявления ишемической болезни сердца.

Заключение

Заключение. Устройство «Zhurek» может быть использовано для масштабной стратификации риска ишемической болезни сердца и способствует переходу системы здравоохранения от ожидания манифестации заболевания к проактивной, профилактически ориентированной модели.

Introduction

Introduction. Ischemic heart disease is one of the leading causes of mortality worldwide, highlighting the importance of implementing accessible and non-invasive screening tools at the population level. This study aimed to assess the feasibility of using heart rate variability parameters obtained from a wearable photoplethysmography-based device to evaluate the risk of ischemic heart disease.

Materials and methods

Materials and methods. A finger-worn IoT device called «Zhurek» was developed, based on photoplethysmography technology and capable of calculating real-time heart rate variability indices. The measurements obtained from «Zhurek» were compared with data from three‑lead Holter electrocardiographic monitoring, and machine learning algorithms were applied to datasets collected from angiographically confirmed patients and healthy volunteers.

Results

Results. The deviations between the new device measurements and Holter electrocardiography remained within clinically acceptable limits; heart rate variability parameters, particularly low-frequency power, and patient age were identified as key diagnostic indicators for detecting ischemic heart disease.

Conclusion

Conclusion. The «Zhurek» device is suitable for large-scale ischemic heart disease risk stratification and may facilitate a shift in healthcare from a reactive, symptom-driven approach to a proactive, prevention-oriented model.

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The authors declare that there are no conflicts of interest present.